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Create a space

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Create a space - Amazon SageMaker AI

To get started using JupyterLab, create a space or choose the space that your administrator created for you and open JupyterLab.

Use the following procedure to create a space and open JupyterLab.

To create a space and open JupyterLab
  1. Open Studio. For information about opening Studio, see Launch Amazon SageMaker Studio.

  2. Choose JupyterLab.

  3. Choose Create JupyterLab space.

  4. For Name, specify the name of the space.

  5. (Optional) Select Share with my domain to create a shared space.

  6. Choose Create space.

  7. (Optional) For Instance, specify the Amazon EC2 instance that runs the space.

  8. (Optional) For Image, specify an image that your administrator provided to customize your environment.

    Important

    Custom IAM policies that allow Studio users to create spaces must also grant permissions to list images (sagemaker: ListImage) to view custom images. To add the permission, see Add or remove identity permissions in the AWS Identity and Access Management User Guide.

    AWS managed policies for Amazon SageMaker AI that give permissions to create SageMaker AI resources already include permissions to list images while creating those resources.

  9. (Optional) For Space Settings, specify the following:

    • Storage (GB) – Up to 100 GB or the amount that your administrator specifies.

    • Lifecycle Configuration – A lifecycle configuration that your administrator specifies.

    • Attach custom EFS filesystem – An Amazon EFS to which your administrator provides access.

  10. Choose Run space.

  11. Choose Open JupyterLab.

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